Jesse Grabowski
Jesse Grabowski
Is this still relevant? I like fast compiles!
In principle the unification stuff offers more power right? We're just not using it?
Not against not using it, but I'm simply not in a good position to know if we're leaving value on the table by not leaning more into it vs going...
Sounds good to me then
Only to the extent that it's my package and I shove it into pymc/pytensor stuff
The circular import is because you are importing `_iota` from `tensor.einsum` inside `tensor.basic`, but inside `tensor.einsum`, `tensor.basic` is imported. The solution is to move the `_iota` function to `tensor.basic`. I...
`Tri` doesn't need init at all, just make it an empty `OpFromGraph`, then make a function called `tri` that actually does the work. Have a look at how the [kronecker...
Well what was the error? I don't want us removing tests.
Put the test back and i'll trigger a CI run so I can see the full output
One negative of using cholesky is that it doesn't allow singular covariance matrices. Any square-root type decomposition will work for generating fast forward samples. For example using SVD: ```py U,...